| 2018 | 2000 Qubit D-Wave Quantum Computer Replacing MCMC for RBM Image Reconstruction and Classification. Yaroslav Koshka, Mark A. Novotny |
| 2018 | 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 |
| 2018 | A "Deeper" Look at Detecting Cyberbullying in Social Networks. Hugo Rosa, David Martins de Matos, Ricardo Ribeiro, Luísa Coheur, João Paulo Carvalho |
| 2018 | A 3D vision system for detecting use of mobile phones while driving. Rafael A. Berri, Fernando Santos Osório |
| 2018 | A Benchmark for Iris Location and a Deep Learning Detector Evaluation. Evair Severo, Rayson Laroca, Cides S. Bezerra, Luiz Antonio Zanlorensi, Daniel Weingaertner, Gladston Moreira, David Menotti |
| 2018 | A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization. Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra |
| 2018 | A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells. Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | A Bio-inspired Collision Detector for Small Quadcopter. Jiannan Zhao, Cheng Hu, Chun Zhang, Zhihua Wang, Shigang Yue |
| 2018 | A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. Jibin Wu, Yansong Chua, Haizhou Li |
| 2018 | A Centerness Peak Based Clustering Algorithm. Jian Hou, Aihua Zhang |
| 2018 | A Compact Encoding for Efficient Character-level Deep Text Classification. Wemerson Marinho, Luis Martí, Nayat Sánchez-Pi |
| 2018 | A Comparative Study of Object Tracking using CNN and SDAE. Wei Yang, Wei Wang, Yang Gao, Zhanpeng Jin |
| 2018 | A Comparison of Graph Construction Methods for Semi-Supervised Learning. Lilian Berton, Alneu de Andrade Lopes, Didier Augusto Vega-Oliveros |
| 2018 | A Comparison of Machine Learning Approaches to Detect Botnet Traffic. Brendan Abraham, Abhijith Mandya, Rohan Bapat, Fatma Alali, Don E. Brown, Malathi Veeraraghavan |
| 2018 | A Computational Approach for Authorship Attribution on Multiple Languages. Paulo J. Varela, Michel Albonico, Edson J. R. Justino, Flávio Bortolozzi |
| 2018 | A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos D. Kollias |
| 2018 | A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets. João Paulo Aires, Carlos Padilha, Christian Quevedo, Felipe Meneguzzi |
| 2018 | A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets. Qikui Zhu, Bo Du, Jia Wu, Pingkun Yan |
| 2018 | A Deep Neural Network Model for Target-based Sentiment Analysis. Siyuan Chen, Chao Peng, Linsen Cai, Lanying Guo |
| 2018 | A Deep Prediction Model of Traffic Flow Considering Precipitation Impact. Jingyuan Wang, Fei Hu, Xiaofei Xu, Dengbao Wang, Li Li |
| 2018 | A Drift Detection Method Based on Active Learning. Albert Franca Josua Costa, Regis Antonio Saraiva Albuquerque, Eulanda Miranda dos Santos |
| 2018 | A Framework of Transferring Structures Across Large-scale Information Networks. Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2018 | A Frequency Domain Neural Network for Fast Image Super-resolution. Junxuan Li, Shaodi You, Antonio Robles-Kelly |
| 2018 | A Fully Attention-Based Information Retriever. Alvaro Henrique Chaim Correia, Jorge Luiz Moreira Silva, Thiago de Castro Martins, Fábio Gagliardi Cozman |
| 2018 | A Hybrid Sampling Method Based on Safe Screening for Imbalanced Datasets with Sparse Structure. Hongbo Shi, Qigang Gao, Suqin Ji, Yanxin Liu |
| 2018 | A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation. Samuel Ndichu, Seiichi Ozawa, Takeshi Misu, Kouichirou Okada |
| 2018 | A Machine Learning-based Forensic Discriminator of Pornographic and Bikini Images. Danilo Coura Moreira, Joseana Macêdo Fechine |
| 2018 | A Method Based on Convex Cone Model for Image-Set Classification With CNN Features. Naoya Sogi, Taku Nakayama, Kazuhiro Fukui |
| 2018 | A Multi-Modal Chinese Poetry Generation Model. Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv |
| 2018 | A Multimodal Deep Learning Network for Group Activity Recognition. Silvia Rossi, Roberto Capasso, Giovanni Acampora, Mariacarla Staffa |
| 2018 | A Multiple Source based Transfer Learning Framework for Marketing Campaigns. James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng |
| 2018 | A Network Anomaly Detection Algorithm based on Natural Neighborhood Graph. Renyu Liu, Qingsheng Zhu |
| 2018 | A Network-Based High Level Data Classification Technique. Tiago Colliri, Donghong Ji, Heng Pan, Liang Zhao |
| 2018 | A Neural Generation-based Conversation Model Using Fine-grained Emotion-guide Attention. Zhiheng Zhou, Man Lan, Yuanbin Wu |
| 2018 | A Neural Net Framework for Accumulative Feature-based Matrix Completion. Mehmet Aktukmak, Samuel Mercier, Ismail Uysal |
| 2018 | A Neural System for Faithful Color Reproduction in Industrial Printing Processes. Beatrice Lazzerini, Francesco Pistolesi |
| 2018 | A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection. Alex Dominguez-Sanchez, Sergio Orts-Escolano, José García Rodríguez, Miguel Cazorla |
| 2018 | A New Modeling for Item Ratings Using Landmarks. Gustavo R. Lima, Carlos E. Mello, Geraldo Zimbrao |
| 2018 | A New Self-Organizing Neural Gas Model based on Bregman Divergences. Esteban J. Palomo, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena |
| 2018 | A New Word Embedding Approach to Evaluate Potential Fixes for Automated Program Repair. Leonardo Afonso Amorim, Mateus F. Freitas, Altino Dantas, Eduardo Faria de Souza, Celso G. Camilo-Junior, Wellington S. Martins |
| 2018 | A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis. Leandro Takeshi F. Hattori, César Manuel Vargas Benítez, Matheus Gutoski, Nelson Marcelo Romero Aquino, Heitor Silvério Lopes |
| 2018 | A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang |
| 2018 | A Novel Document Classification Algorithm Based on Statistical Features and Attention Mechanism. Chao Li, Yanfen Cheng, Hongxia Wang |
| 2018 | A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity. Aixiang Andy Chen, Xiaolong Chai, Bingchuan Chen, Rui Bian, Qingliang Chen |
| 2018 | A Pitch Extraction System Based on Laryngeal Mechanisms Classification. Everton B. Lacerda, Carlos A. B. Mello |
| 2018 | A Privacy-Protecting Data-Exchange Wallet with Ownership- and Monetization Capabilities. Alex Norta, Daniel Hawthorne, Serafin L. Engel |
| 2018 | A Recommender System Approach for Predicting Drug Side Effects. Diego Galeano, Alberto Paccanaro |
| 2018 | A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. Hirak Jyoti Kashyap, Georgios Detorakis, Nikil D. Dutt, Jeffrey L. Krichmar, Emre Neftci |
| 2018 | A Redescriptive Approach to Autonomous Perceptual Classification in Robotic Cognitive Architectures. José Antonio Becerra, Richard J. Duro, Juan Monroy |
| 2018 | A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks. Hiram Ponce, Guillermo Gonzalez-Mora, María de Lourdes Martínez-Villaseñor |
| 2018 | A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector. Rayson Laroca, Evair Severo, Luiz Antonio Zanlorensi, Luiz S. Oliveira, Gabriel Resende Gonçalves, William Robson Schwartz, David Menotti |
| 2018 | A Self Fixing Intelligent Ant Clustering Algorithm For Graphs. Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2018 | A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells. Xiaomao Zhou, Cornelius Weber, Stefan Wermter |
| 2018 | A Semi-Supervised Self-Organizing Map for Clustering and Classification. Pedro H. M. Braga, Hansenclever de F. Bassani |
| 2018 | A Short Review of Deep Learning Methods for Understanding Group and Crowd Activities. Luis Felipe Borja-Borja, Marcelo Saval-Calvo, Jorge Azorín López |
| 2018 | A Simple Reservoir Model of Working Memory with Real Values. Anthony Strock, Nicolas P. Rougier, Xavier Hinaut |
| 2018 | A Spatiotemporal Ensemble Approach to Rainfall Forecasting. Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra |
| 2018 | A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security. Shuva Paul, Zhen Ni |
| 2018 | A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry. Ilaria Bortone, Gianpaolo Francesco Trotta, Giacomo Donato Cascarano, Paola Regina, Antonio Brunetti, Irio De Feudis, Domenico Buongiorno, Claudio Loconsole, Vitoantonio Bevilacqua |
| 2018 | A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks. Yu Miao, Huajin Tang, Gang Pan |
| 2018 | A System for Aiding Diagnosis of Alzheimer's Disease and Related Disorders with an Adaptable Decision Model. Carolina Medeiros Carvalho, Flávio Luiz Seixas, Débora C. Muchaluat-Saade, Aura Conci, Yolanda Boechat, Jerson Laks |
| 2018 | A Target-Guided Neural Memory Model for Stance Detection in Twitter. Penghui Wei, Wenji Mao, Daniel Zeng |
| 2018 | A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen |
| 2018 | A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data. Johannes C. Thiele, Olivier Bichler, Antoine Dupret |
| 2018 | A Two-Stage Feature Selection Algorithm Based on Redundancy and Relevance. Arren Matthew C. Antioquia, Arnulfo P. Azcarraga |
| 2018 | A Two-stage Vehicle Type Recognition Method. Fei Gao, Zhijing He, Yisu Ge, Shufang Lu, Yuanming Zhang |
| 2018 | A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis. Jiyao Dong, Yunfei Zheng, Badong Chen |
| 2018 | A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso |
| 2018 | A Very Short-Term Online Forecasting Model for Photovoltaic Power based on Two-Stage Resource Allocation Network. Chaofeng Lv, Tengfei Zhang, Fumin Ma, Dong Yue |
| 2018 | A bio-inspired SOSNN model for object recognition. Jiaxing Liu, Guoping Zhao |
| 2018 | A case for multiple and parallel RRAMs as synaptic model for training SNNs. Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly |
| 2018 | A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals. Claudio Loconsole, Giacomo Donato Cascarano, Antonio Lattarulo, Antonio Brunetti, Gianpaolo Francesco Trotta, Domenico Buongiorno, Ilaria Bortone, Irio De Feudis, Giacomo Losavio, Vitoantonio Bevilacqua, Eugenio Di Sciascio |
| 2018 | A comparison of models to predict medical procedure costs from open public healthcare data. A. Ravishankar Rao, Daniel Clarke |
| 2018 | A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. Norberto Ritzmann Junior, Júlio César Nievola |
| 2018 | A hybrid model combining neural networks and decision tree for comprehension detection. James D. O'Shea, Keeley A. Crockett, Wasiq Khan, Zuhair Bandar |
| 2018 | A mixture of experts model for predicting persistent weather patterns. M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz |
| 2018 | A model of neurobiologically plausible least-squares learning in visual cortex. Samya Bagchi, Mark D. McDonnell |
| 2018 | A novel hardware-efficient spiking neuron model based on asynchronous cellular automaton dynamics exhibiting various nonlinear response curves. Kentaro Takeda, Hiroyuki Torikai |
| 2018 | A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression. Fannia Pacheco, Ernesto Exposito, José Aguilar, Mathieu Gineste, Cédric Baudoin |
| 2018 | A study on exploiting VAT to mitigate ordering effects in Fuzzy ART. Leonardo Enzo Brito da Silva, Donald C. Wunsch |
| 2018 | A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data. A. Ravishankar Rao, Subrata Garai, Daniel J. B. Clarke, Soumyabrata Dey |
| 2018 | A temporal-based deep learning method for multiple objects detection in autonomous driving. Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo |
| 2018 | AC2: A Policy Gradient Actor with Primary and Secondary Critics. Alfonso B. Labao, Prospero C. Naval |
| 2018 | ACJIS: A Novel Attentive Cross Approach For Joint Intent Detection And Slot Filling. Shuai Yu, Lei Shen, Pengcheng Zhu, Jiansong Chen |
| 2018 | AFA-PredNet: The Action Modulation Within Predictive Coding. Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya Ogata |
| 2018 | AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors. Paul J. Werbos |
| 2018 | Accelerated Block Coordinate Descent for Sparse Group Lasso. Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro |
| 2018 | Accelerating Deep Continuous Reinforcement Learning through Task Simplification. Matthias Kerzel, Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Stefan Wermter |
| 2018 | Accelerating model-based collaborative filtering with item clustering. Robin Devooght, Hugues Bersini |
| 2018 | Active Learning With Realistic Data - A Case Study. Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick |
| 2018 | Active Learning for Input Space Exploration in Traffic Simulators. Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira |
| 2018 | Active Object Detection Using Double DQN and Prioritized Experience Replay. Xiaoning Han, Huaping Liu, Fuchun Sun, Dongfang Yang |
| 2018 | Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick |
| 2018 | Adaptive Adversarial Transfer Learning for Electroencephalography Classification. Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang |
| 2018 | Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki |
| 2018 | Adaptive Learning Models Evaluation in Twitter's Timelines. Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro |
| 2018 | Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN). Tiago Mazzutti, Mauro Roisenberg, Paulo José de Freitas Filho |
| 2018 | Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. Diana Haidar, Mohamed Medhat Gaber |
| 2018 | Adaptive Window Strategy for Topic Modeling in Document Streams. Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols |
| 2018 | Adversarial Manipulation of Reinforcement Learning Policies in Autonomous Agents. Yonghong Huang, Shih-han Wang |
| 2018 | Adversarial mRMR against Evasion Attacks. Miaomiao Wu, Yun Li |
| 2018 | Adversarials Nils Worzyk, Oliver Kramer |
| 2018 | Aggregation of Time Series Forecasts via Cacoullos Copula. Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira |
| 2018 | An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells. Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | An Adaptive Recurrent Neural Network Model Dedicated to Opportunistic Communication in Wireless Networks. Silas S. Fernandes, Mariana R. Makiuchi, Marcus Vinicius Lamar, Jacir Luiz Bordim |
| 2018 | An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules. Renan de Padua, Laís Pessine do Carmo, Solange Oliveira Rezende, Veronica Oliveira de Carvalho |
| 2018 | An Analytic Solution to the Inverse Ising Problem in the Tree-reweighted Approximation. Takashi Sano |
| 2018 | An Assist-as-Needed Controller for Robotic Rehabilitation Therapy Based on RBF Network. Lincong Luo, Liang Peng, Chen Wang, Zeng-Guang Hou, Weiqun Wang |
| 2018 | An Embedded Tracking System with Neural Network Accelerator. Wei Yang, Wei Wang, Yang Gao, Zhanpeng Jin |
| 2018 | An Empirical Study on Identifying Sentences with Salient Factual Statements. Damian Jimenez, Chengkai Li |
| 2018 | An Ensemble Generation Method Based on Instance Hardness. Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin |
| 2018 | An Ensemble of Convolutional Neural Networks for Unbalanced Datasets: A case Study with Wagon Component Inspection. Everlandio Fernandes, Rafael Lima Rocha, Bruno V. Ferreira, Eduardo Carvalho, Ana Carolina Siravenha, Ana Cláudia S. Gomes, Schubert R. Carvalho, Cleidson R. B. de Souza |
| 2018 | An Entropy Maximization Approach to Optimal Dimensionality Reduction. Aviv Dotan, Oren Shriki |
| 2018 | An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua |
| 2018 | An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes |
| 2018 | An FPGA-based SOM circuit architecture for online learning of 64-QAM data streams. Miguel Angelo de Abreu de Sousa, Ricardo Pires, Sara D. dos S. Perseghini, Emilio Del-Moral-Hernandez |
| 2018 | An Iterative Transfer Learning based Classification framework. Jihai Yang, Shijun Li, Wenning Xu |
| 2018 | An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. André G. C. Pacheco, Renato A. Krohling |
| 2018 | An empirical analysis of Combined Dissimilarity Spaces. Leticia V. N. Lapenda, Roberto H. W. Pinheiro, George D. C. Cavalcanti |
| 2018 | An empirical biometric-based study for user identification with different neural networks in the online game League of Legends. Valmiro Ribeiro da Silva, Márjory Cristiany Da Costa Abreu |
| 2018 | An optic-fiber fence intrusion recognition system using the optimized curve fitting model based on the SVM method. Ningyu He, Jie Zhu, Lianqiang Li |
| 2018 | Analysing rotation-invariance of a log-polar transformation in convolutional neural networks. Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza |
| 2018 | Analysis and Design of Memristor Crossbar Based Neuromorphic Intrusion Detection Hardware. Chris Yakopcic, Tarek M. Taha |
| 2018 | Analysis and Implementation of Simple Dynamic Binary Neural Networks. Shunsuke Aoki, Seitaro Koyama, Toshimichi Saito |
| 2018 | Analysis and Improvement of convergence speed in kernel adaptive filters with nonlinear even cost function and pre-tuned dictionary. Eden P. da Silva, Carlos A. Estombelo-Montesco, Ewaldo Eder Carvalho Santana, Leonardo N. Matos |
| 2018 | Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning. Diego Renan Bruno, Daniel Oliva Sales, Jean Amaro, Fernando Santos Osório |
| 2018 | Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection. Lucien Koefoed, Elisa Capecci, Nikola K. Kasabov |
| 2018 | Analysis of inner structure of VSF-Network. Yoshitsugu Kakemoto, Shinichi Nakasuka |
| 2018 | Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara |
| 2018 | Anomaly User Detection via Comprehensive Keystroke Features Optimization. Meng Li, Bin Wu, Zhengcai Qin |
| 2018 | Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. Daniele Zambon, Lorenzo Livi, Cesare Alippi |
| 2018 | Anticipating contingengies in power grids using fast neural net screening. Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici |
| 2018 | Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal. Heitor S. Carvalho, Farzin Shams, Rafael Ferrari, Levy Boccato |
| 2018 | Apprenticeship Bootstrapping. Hung The Nguyen, Matthew Garratt, Hussein A. Abbass |
| 2018 | Approaching miRNA Family Classification Through Constructive Neural Networks. João R. Bertini, Viviani Akemi Kasahara, Maria C. Nicoletti |
| 2018 | Arithmetic Circuit Classification Using Convolutional Neural Networks. Leandro Maia Silva, Fabrício Vivas Andrade, Antônio Otávio Fernandes, Luiz Filipe Menezes Vieira |
| 2018 | Artificial Neural Networks Applied in the Solution of the Inverse Kinematics Problem of a 3D Manipulator Arm. Jonatas Favotto Dalmedico, Márcio Mendonça, Lucas Botoni de Souza, Ruan Victor P. Duarte Barros, Ivan Rossato Chrun |
| 2018 | Artificial Neural Networks For Dictionary Selection in Adaptive Greedy Decomposition Algorithms With Reduced Complexity. Gabriel A. de Oliveira, Michel Pompeu Tcheou, Lisandro Lovisolo |
| 2018 | Assessing fish abundance from underwater video using deep neural networks. Ranju Mandal, Rod M. Connolly, Thomas A. Schlacher, Bela Stantic |
| 2018 | Association Learning based Hybrid Model for Cloud Workload Prediction. Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam |
| 2018 | Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li |
| 2018 | Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar |
| 2018 | Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification. Kai Gao, Hua Xu, Chengliang Gao, Hanyong Hao, Junhui Deng, Xiaomin Sun |
| 2018 | Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network. Yaohua Liu, Yimin Zhou, Xiang Li |
| 2018 | Augmented Reality for Remote Laboratory Improving Educational Learning: Using Elevated Particle Swarm Optimization in Object Tracking Scheme. Seid Miad Zandavi, Vera Yuk Ying Chung |
| 2018 | Augmented Space Linear Model. Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe |
| 2018 | Augmenting The Size of EEG datasets Using Generative Adversarial Networks. Sherif M. Abdelfattah, Ghodai M. Abdelrahman, Min Wang |
| 2018 | AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier. Arijit Ukil, Ishan Sahu, Chetanya Puri, Ayan Mukherjee, Rituraj Singh, Soma Bandyopadhyay, Arpan Pal |
| 2018 | Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings. Jérémie Cabessa, Aubin Tchaptchet |
| 2018 | Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method. Karliane M. Ovidio Vale, Anne Magály de Paula Canuto, Araken de Medeiros Santos, Flavius da Luz e Gorgônio, Alan de M. Tavares, Arthur C. Gorgônio, Cainan T. Alves |
| 2018 | Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands. Monika Sharma, Swati, Lovekesh Vig |
| 2018 | Automatic Cluster Labeling Based on Phylogram Analysis. Francisco N. C. de Araujo, Vinícius P. Machado, Antonio H. M. Soares, Rodrigo de Melo Souza Veras |
| 2018 | Automatic Guidewire Tip Segmentation in 2D X-ray Fluoroscopy Using Convolution Neural Networks. Yu-Dong Wu, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Ran Cheng, Sheng Chen, Shi-Qi Liu, Qiao-Li Wang |
| 2018 | Automatic detection of drowsiness using in-ear EEG. Takashi Nakamura, Yousef D. Alqurashi, Mary J. Morrell, Danilo P. Mandic |
| 2018 | Background Subtraction on Depth Videos with Convolutional Neural Networks. Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng |
| 2018 | Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Sergey Pugachevskiy, Björn W. Schuller |
| 2018 | Bayesian Multi-task Learning for Dynamic Time Series Prediction. Rohitash Chandra, Sally Cripps |
| 2018 | Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity |
| 2018 | Botnet Detection in the Internet of Things using Deep Learning Approaches. Christopher D. McDermott, Farzan Majdani, Andrei Petrovski |
| 2018 | Box-constrained Discriminant Projective Non-negative Matrix Factorization through Augmented Lagrangian Multiplier Method. Huayue Cai, Xiang Zhang, Zhigang Luo, Xuhui Huang |
| 2018 | Brain-Voyant: A General Purpose Machine-Learning Tool for Real-Time fMRI Whole-Brain Pattern Classification. Ori Cohen, Rafael Malach, Moshe Koppel, Doron Friedman |
| 2018 | Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors. Diego B. Haddad, Laura S. de Assis, Luís Tarrataca, Andrea da S. Gomes, Marcos Bacis Ceddia, Rosane F. Oliveira, Jurair R. de P. Junior, Diego N. Brandão |
| 2018 | Budgeted Hierarchical Reinforcement Learning. Aurélia Léon, Ludovic Denoyer |
| 2018 | CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar |
| 2018 | CS-CL: A Flocking Model That Incorporates The Bio-inspired Chorus-Line Effect. Jing Ma, Edmund M.-K. Lai, WenWang Pang |
| 2018 | CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors. Qing Wu, Xingfei Li, Quan Do, Jin Fan, Ruiquan Ge, Jie Wang |
| 2018 | CactusNets: Layer Applicability as a Metric for Transfer Learning. Edward Collier, Robert DiBiano, Supratik Mukhopadhyay |
| 2018 | Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. Alexander New, Curt M. Breneman, Kristin P. Bennett |
| 2018 | Calibration Time Reduction for Motor Imagery-Based BCI Using Batch Mode Active Learning. Ibrahim Hossain, Imali Hettiarachchi |
| 2018 | Cascaded SOM: An Improved Technique for Automatic Email Classification. Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya |
| 2018 | Catching Dynamic Heterogeneous User Data for Identity Linkage Learning. Fan Lei, Qiudan Li, Song Sun, Lei Wang, Daniel Dajun Zeng |
| 2018 | Centrality Ranking via Topologically Biased Random Walks in Multiplex Networks. Cangfeng Ding, Kan Li |
| 2018 | Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter. Shuhui Zhang, Min Han, Meiling Xu |
| 2018 | Character Level based Detection of DGA Domain Names. Bin Yu, Jie Pan, Jiaming Hu, Anderson C. A. Nascimento, Martine De Cock |
| 2018 | Character-Level Intrusion Detection Based On Convolutional Neural Networks. Steven Z. Lin, Yong Shi, Zhi Xue |
| 2018 | Citizens and Information and Communication Technologies. Thays A. Oliveira, Alexandre C. Barbosa, Helena Ramalhinho, Miquel Oliver |
| 2018 | Classification of Hand Movements from EMG Signals using Optimized MLP. Aron A. Martins Lima, Rafael M. Araujo, Fabio A. Guidotti dos Santos, Victor H. Yoshizumi, Fabio K. H. de Barros, Danilo H. Spatti, Luisa H. B. Liboni, Maria Eugenia Dajer |
| 2018 | Classification of Mice Head Orientation Using Support Vector Machine and Histogram of Oriented Gradients Features. Richardson Santiago Teles de Menezes, Lucas de Azevedo Lima, Orivaldo Santana, Aron Miranda Henriques-Alves, Rossana Moreno Santa Cruz, Helton Maia Peixoto |
| 2018 | Classify Sentence from Multiple Perspectives with Category Expert Attention Network. Shiyun Chen, Maoquan Wang, Jiacheng Zhang, Liang He |
| 2018 | Cluster Structure Preserving Based on Dictionary Pair for Unsupervised Feature Selection. Qilai Zhang, Jianhua Dai |
| 2018 | Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations. Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu |
| 2018 | Clustering of Astronomical Transient Candidates Using Deep Variational Embedding. Nicolas Astorga, Pablo Huijse, Pablo A. Estévez, Francisco Förster |
| 2018 | Cognitive Analysis for Reading and Writing of Bengali Conjuncts. Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein |
| 2018 | Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations. Carlos Calvo Tapia, José Antonio Villacorta-Atienza, Innokentiy Kastalskiy, Sergio Diez-Hermano, Abel Sanchez-Jimenez, Valeri A. Makarov |
| 2018 | Collaborative Clustering through Constrained Networks using Bandit Optimization. Jérémie Sublime, Sylvain Lefebvre |
| 2018 | Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. Marco Severini, Ornella Pisacane, Marco Fagiani, Stefano Squartini |
| 2018 | Collaborative Multi-View Attributed Networks Mining. Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani, Basarab Matei |
| 2018 | Combined Convolutional Neural Network for High Frequency Restoration in Acoustic Impedance Images. Isaac Sacramento, Mauro Roisenberg, Rodrigo Exterkoetter, Leandro Passos de Figueiredo, Bruno Barbosa Rodrigues |
| 2018 | Commercial Property Tokenizing With Smart Contracts. Alex Norta, Chad Fernandez, Stefan Hickmott |
| 2018 | Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh |
| 2018 | Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. Thiago Bell Felix de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki |
| 2018 | Comparing the Use of Sum and Difference Histograms and Gray Levels Occurrence Matrix for Texture Descriptors. Adriel S. Araújo, Aura Conci, Maira B. H. Moran, Roger Resmini |
| 2018 | Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning. Ying Ma, José C. Príncipe |
| 2018 | Comparison of Three Methods for Short-Term Wind Power Forecasting. Qin Chen, Komla A. Folly |
| 2018 | Complex-Valued Deep Boltzmann Machines. Calin-Adrian Popa |
| 2018 | Computational Analysis of Learned Representations in Deep Neural Network Classifiers. Tomas Kuzma, Igor Farkas |
| 2018 | Computational Intelligence and Adaptation in VANETs: Current Research and New Perspectives. Marcia Pasin, Amal El Fallah Seghrouchni, Assia Belbachir, Sarajane Marques Peres, Anarosa Alves Franco Brandão |
| 2018 | Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model. Felipe Grando, Luís C. Lamb |
| 2018 | Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. Davide Bacciu, Andrea Bongiorno |
| 2018 | Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. Maciej Jaworski, Piotr Duda, Leszek Rutkowski |
| 2018 | Confronting machine-learning with neuroscience for neuromorphic architectures design. Lyes Khacef, Nassim Abderrahmane, Benoît Miramond |
| 2018 | Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples. Jessica S. Rahman, Jinyan Li, Juanying Xie, Shoshana Fogelman, Michael Blumenstein |
| 2018 | Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. Gang Chen, Yiming Peng, Mengjie Zhang |
| 2018 | Contact Lens Detection using Transfer Learning with Deep Representations. Gunjan Gautam, Susanta Mukhopadhyay |
| 2018 | Continuous Control With a Combination of Supervised and Reinforcement Learning. Dmitry Kangin, Nicolas Pugeault |
| 2018 | Controlling the Charging of Electric Vehicles with Neural Networks. Martin Pilát |
| 2018 | Convolutional Neural Network and Kernel Methods for Occupant Thermal State Detection using Wearable Technology. Tanaya Chaudhuri, Deqing Zhai, Yeng Chai Soh, Hua Li, Lihua Xie, Xianhua Ou |
| 2018 | Convolutional Neural Networks applied in the monitoring of metallic parts. Julio Henrique Lopes de Almeida, L. A. R. Lopes, M. A. B. Silva, Jorge Luís Machado do Amaral |
| 2018 | Convolutional Neural Networks for Energy Time Series Forecasting. Irena Koprinska, Dengsong Wu, Zheng Wang |
| 2018 | Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries |
| 2018 | Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. Angelika Skarysz, Yaser Alkhalifah, Kareen Darnley, Michael Eddleston, Yang Hu, Duncan B. McLaren, William H. Nailon, Dahlia Salman, Martin Sykora, C. L. Paul Thomas, Andrea Soltoggio |
| 2018 | Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data. Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos |
| 2018 | Correlation Filter Tracking with Multiscale Spatial View. Yafu Xiao, Jing Li, Jun Chang, Yifei Zhou, Wenfan Zhang |
| 2018 | Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition. Rishabh Singh, José C. Príncipe |
| 2018 | Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang |
| 2018 | Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar |
| 2018 | Coupling Robots Behavior by Introducing Reactive Motivational Orientations. Cristóbal J. Nettle, Fabian Rubilar, María-José Escobar |
| 2018 | Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction. Xinxin Jiang, Shirui Pan, Jing Jiang, Guodong Long |
| 2018 | Cross-modal Metric Learning with Graph Embedding. Youcai Zhang, Xiaodong Gu |
| 2018 | Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network. Wei-Teng Weng, Daw-Tung Lin |
| 2018 | Cryptocurrencies for Smart Territories: an exploratory study. Alexandre C. Barbosa, Thays A. Oliveira, Vitor Nazário Coelho |
| 2018 | Curiosity-Driven Reinforcement Learning with Homeostatic Regulation. Ildefons Magrans de Abril, Ryota Kanai |
| 2018 | Curved Gabor Projection Entropy for Face Recognition. Eucassio G. Lima Junior, Luis H. S. Vogado, Ricardo de A. L. Rabelo, Cornélia J. P. Passarinho |
| 2018 | Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization. Lavneet Singh, Nancy Kaur, Girija Chetty |
| 2018 | Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration. Vinicius G. Goecks, Gregory M. Gremillion, Hannah C. Lehman, William D. Nothwang |
| 2018 | Cyclone Track Prediction with Matrix Neural Networks. Yanfei Zhang, Rohitash Chandra, Junbin Gao |
| 2018 | DHA: Lidar and Vision data Fusion-based On Road Object Classifier. Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue |
| 2018 | DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. Edward W. Staley, Kapil D. Katyal, Philippe Burlina |
| 2018 | DSDR: Dynamic Semantic Discard Reader for Open-Domain Question Answering. Xu Wang, Zhen Huang, Yiming Zhang, Ludan Tan, Yang Liu |
| 2018 | Data Complexity Measures for Imbalanced Classification Tasks. Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho |
| 2018 | Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. Alexander N. Gorban, Evgeny M. Mirkes, Andrei Yu. Zinovyev |
| 2018 | Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. Xiangnan Zhong, Zhen Ni |
| 2018 | Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans. Natasza Marrouch, Heather L. Read, Joanna Slawinska, Dimitrios Giannakis |
| 2018 | Day ahead electricity consumption forecasting with MOGUL learning model. Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale, João P. Soares |
| 2018 | Decoding music-induced experienced emotions using functional magnetic resonance imaging - Preliminary results. Norberto Eiji Nawa, Daniel E. Callan, Parham Mokhtari, Hiroshi Ando, John R. Iversen |
| 2018 | Deep Barcodes for Fast Retrieval of Histopathology Scans. Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh |
| 2018 | Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing. Yawen Cui, Bo Zhang, Wenjing Yang, Xiaodong Yi, Yuhua Tang |
| 2018 | Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition. Erik Barrow, Mark Eastwood, Chrisina Jayne |
| 2018 | Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data. Shijie Liao, Jing Chen, Jiaxin Hou, Qingyu Xiong, Junhao Wen |
| 2018 | Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition. Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu |
| 2018 | Deep Discriminative Clustering Network. Xuying Shaol, Ke-shi Ge, Huayou Su, Lei Luo, Baoyun Peng, Dongsheng Li |
| 2018 | Deep Hybrid Real-Complex-Valued Convolutional Neural Networks for Image Classification. Calin-Adrian Popa |
| 2018 | Deep Image Segmentation by Quality Inference. Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso |
| 2018 | Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles. Manuel R. Vargas, Carlos E. M. dos Anjos, Gustavo L. G. Bichara, Alexandre G. Evsukoff |
| 2018 | Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes. Gracie Ermi, Ellyn Ayton, Nolan Price, Brian Hutchinson |
| 2018 | Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers |
| 2018 | Deep Learning Single Logo Recognition with Data Enhancement by Shape Context. Yulong Wang, Wei Yang, Haoxin Zhang |
| 2018 | Deep Learning for Illumination Invariant Facial Expression Recognition. Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky |
| 2018 | Deep Learning-based Cooperative Trail Following for Multi-Robot System. Mingyang Geng, Yiying Li, Bo Ding, Huaimin Wang |
| 2018 | Deep MLPs for Imbalanced Classification. David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro |
| 2018 | Deep Modeling of Human Age Guesses for Apparent Age Estimation. Jared Rondeau, Marco Álvarez |
| 2018 | Deep Network based Automatic Annotation for Warehouse Automation. Chandan Kumar Singh, Anima Majumder, Swagat Kumar, Laxmidhar Behera |
| 2018 | Deep Quaternion Networks. Chase J. Gaudet, Anthony S. Maida |
| 2018 | Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid. Jingyi Zhang, Chao Lu, Jennie Si, Jie Song, Yinsheng Su |
| 2018 | Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. Juan Pedro Dominguez-Morales, Qian Liu, Robert James, Daniel Gutierrez-Galan, Angel Jiménez-Fernandez, Simon Davidson, Steve B. Furber |
| 2018 | Deep Stochastic Configuration Networks with Universal Approximation Property. Dianhui Wang, Ming Li |
| 2018 | Deep Tree Echo State Networks. Claudio Gallicchio, Alessio Micheli |
| 2018 | Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System. Md. Zahangir Alom, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, Tarek M. Taha |
| 2018 | Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2018 | DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families. Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David |
| 2018 | DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction. Dongjie Wang, Yan Yang, Shangming Ning |
| 2018 | DeepSign: Deep Learning based Traffic Sign Recognition. Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang |
| 2018 | DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting. Xingyi Cheng, Ruiqing Zhang, Jie Zhou, Wei Xu |
| 2018 | Defect classification in shearography images using convolutional neural networks. Herberth Birck Fröhlich, Analucia Vieira Fantin, Bernardo Cassimiro Fonseca de Oliveira, Daniel Pedro Willemann, Lucas Arrigoni Iervolino, Mauro Eduardo Benedet, Armando Albertazzi Gonçalves Júnior |
| 2018 | Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata. Diego O. Dantas, Sergio R. Barros dos Santos, Fabio A. M. Cappabianco, Areolino de Almeida Neto |
| 2018 | Design of Novel Deep Learning Models for Real-time Human Activity Recognition with Mobile Phones. Mark Nutter, Catherine H. Crawford, Jorge Ortiz |
| 2018 | Designing Financial Strategies based on Artificial Neural Networks Ensembles for Stock Markets. Julia de Mello Assis, Adriano C. M. Pereira, Rodrigo Couto e Silva |
| 2018 | Detecting Communities in Networks Using Competitive Hopfield Neural Network. Jin Ding, Yong-Zhi Sun, Ping Tan, Yong Ning |
| 2018 | Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach. Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques de Sá Medeiros |
| 2018 | Development of resistive memories based on silver doped graphene oxide for neuron simulation. Marina Sparvoli, Jonas S. Marma |
| 2018 | Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions. Zheng Qin, Zhaoning Zhang, Dongsheng Li, Yiming Zhang, Yuxing Peng |
| 2018 | Differential Evolution Aplication in Portfolio optimization for Electricity Markets. Ricardo Faia, Fernando Lezama, João P. Soares, Zita A. Vale, Tiago Pinto, Juan Manuel Corchado |
| 2018 | Differential Evolution and Covariance Ellipsoid for non-rigid transformation tracking of internal organs. Carlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco |
| 2018 | Differential Private Ensemble Feature Selection. Zhongfeng Liu, Yun Li, Wei Ji |
| 2018 | Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers. Jefferson Tales Oliva, João Luís Garcia Rosa |
| 2018 | Digital Realization of PSTDP and TSTDP Learning. Shaghayegh Gomar, Majid Ahmadi |
| 2018 | Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | Distance Correlation Autoencoder. Rick Wang, Amir-Hossein Karimi, Ali Ghodsi |
| 2018 | Distance Estimation Using a Bio-Inspired Optical Flow Strategy Applied to Neuro-Robotics. Hiram Ponce, Jorge Brieva, Ernesto Moya-Albor |
| 2018 | Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions. Heng She, Bin Wu, Bai Wang, Renjun Chi |
| 2018 | Distilled Binary Neural Network for Monaural Speech Separation. Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu |
| 2018 | Distinguishing Highly Correlated Patterns using a Context Based Aproach in Bidirectional Associative Memory. Damiem Rolon-Merette, Thadde Rolon-Merette, Sylvain Chartier |
| 2018 | Distributed Neural Networks for Missing Big Data Imputation. Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger |
| 2018 | Distributionally Robust Games: Wasserstein Metric. Jian Gao, Hamidou Tembine |
| 2018 | Diversity-Based Pool of Models for Dealing with Recurring Concepts. Chun Wai Chiu, Leandro L. Minku |
| 2018 | Do Deep Networks Really Need Complex Modules for Multilingual Sentiment Polarity Detection and Domain Classification? Lisa Medrouk, Anna Pappa |
| 2018 | Document Image Retrieval Using Deep Features. Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz Eduardo Soares de Oliveira |
| 2018 | Domain Wall Motion-based XOR-like Activation Unit With A Programmable Threshold. Suman Deb, Tarun Vatwani, Anupam Chattopadhyay, Arindam Basu, Xuanyao Fong |
| 2018 | Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems. Shantanu Jain, Angshul Majumdar |
| 2018 | Driver Identification: a Time Series Classification Approach. Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2018 | Dual Learning based Multi-Objective Pairwise Ranking. Zhenyu Zhang, Juan Yang |
| 2018 | Dynamic Feature Selection Based on Pareto Front Optimization. Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo |
| 2018 | Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. Alexandra Vieira, Bernardete Ribeiro, Heloisa Sobral, A. Paulo Coimbra, Manuel M. Crisóstomo, João Paulo Ferreira, Tao Liu |
| 2018 | EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning. Lusi Li, Haibo He, Jie Li, Weijun Li |
| 2018 | EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2018 | ELM-SOM: A Continuous Self-Organizing Map for Visualization. Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse |
| 2018 | Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker |
| 2018 | Effective Fashion Retrieval Based on Semantic Compositional Networks. Dan Valle, Nivio Ziviani, Adriano Veloso |
| 2018 | Effective Quantization Approaches for Recurrent Neural Networks. Md. Zahangir Alom, Adam T. Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha |
| 2018 | Effects of Data Sparsity on Recommender Systems based on Collaborative Filtering. Joao Felipe Guedes da Silva, Natanael Nunes de Moura Junior, Luiz Pereira Calôba |
| 2018 | Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green |
| 2018 | Efficient Classification of Seismic Textures. Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny |
| 2018 | Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin |
| 2018 | Efficient Low-Power Material Analysis using Neuromorphic Hardware: A spectral case study. Narayani Bhatia, Manan Suri |
| 2018 | Efficient Optimization of Echo State Networks for Time Series Datasets. Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas |
| 2018 | Effort Estimation via Text Classification And Autoencoders. Rodrigo G. F. Soares |
| 2018 | Eigenspectrum Shape Based Nyström Sampling. Djallel Bouneffouf |
| 2018 | Electricity fraud detection using committee semi-supervised learning. Joaquim L. Viegas, Nuno M. Cepeda, Susana M. Vieira |
| 2018 | Emergent Turing Machine as a General Purpose Approximator. Zejia Zheng, Xiang Wu, Juyang Weng |
| 2018 | EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition. Yi Wang, Zhiyi Huang, Brendan McCane, Phoebe Neo |
| 2018 | Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network. Yilong Yang, Qingfeng Wu, Ming Qiu, Yingdong Wang, Xiaowei Chen |
| 2018 | Employing Domain Specific Discriminative Information to Address Inherent Limitations of the LBP Descriptor in Face Recognition. Junjie Fan, Ognjen Arandjelovic |
| 2018 | Encoding symbolic sequences with spiking neural reservoirs. Renato C. Duarte, Marvin Uhlmann, Dick den van Broek, Hartmut Fitz, Karl Magnus Petersson, Abigail Morrison |
| 2018 | End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input. Emre Cakir, Tuomas Virtanen |
| 2018 | End-to-End Supervised Lung Lobe Segmentation. Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho |
| 2018 | End-to-End Visuomotor Learning of Drawing Sequences using Recurrent Neural Networks. Kazuma Sasaki, Tetsuya Ogata |
| 2018 | Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms. Antonino Capillo, Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection. Esteban Reyes, Pablo A. Estévez, Ignacio Reyes, Guillermo Cabrera-Vives, Pablo Huijse, Rodrigo Carrasco, Francisco Förster |
| 2018 | Enhancement of Deep Architecture using Dropout/ DropConnect Techniques Applied for AHR System. Mohamed Elleuch, Adel M. Alimi, Monji Kherallah |
| 2018 | Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. Rakesh Katuwal, Ponnuthurai N. Suganthan |
| 2018 | Estimating Protein Structure Prediction Models Quality Using Convolutional Neural Networks. Emerson Correia Lima, Fábio Lima Custódio, Gregorio Kappaun Rocha, Laurent Emmanuel Dardenne |
| 2018 | Estimation of global solar irradiance with LDR sensor and artificial neural network embedded in an 8-bit microcontroller. Igor Rocha de Sousa, Rogerio Vieira de Oliveira Segundo, Cláudio Marques de Sá Medeiros, Elias Teodoro Silva |
| 2018 | Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers. Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr. |
| 2018 | Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets. Juarez Monteiro, Roger Granada, João Paulo Aires, Rodrigo C. Barros |
| 2018 | Evaluating the Training Performance of Artificial Neural Network Using Small Time Series Segments of The Lorenz Chaotic System. Lei Zhang |
| 2018 | Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts. Johannes V. Lochter, Pedro R. Pires, Carlos Bossolani, Akebo Yamakami, Tiago A. Almeida |
| 2018 | Evaluation of Convolutional Neural Network Architectures for Chart Image Classification. Paulo Chagas, Rafael Daisuke Akiyama, Aruanda Simões Goncalves Meiguins, Carlos Gustavo Resque dos Santos, Filipe Saraiva, Bianchi Serique Meiguins, Jefferson Morais |
| 2018 | Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability. Miloslav Torda, Igor Farkas |
| 2018 | Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos |
| 2018 | Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA. Ricardo Tapiador-Morales, Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Daniel Gutierrez-Galan, Manuel Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco |
| 2018 | Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. Hui Song, A. K. Qin, Flora D. Salim |
| 2018 | Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | Existence of Periodic Solutions for the Discrete-Time Counterpart of a Complex-Valued Hopfield Neural Network with Time-Varying Delays and Impulses. Valéry Covachev, Zlatinka Covacheva |
| 2018 | Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network. Pablo V. A. Barros, German Ignacio Parisi, Di Fu, Xun Liu, Stefan Wermter |
| 2018 | Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. Michele Valenti, Roberto Bonfigli, Emanuele Principi, Stefano Squartini |
| 2018 | Explore Uncertainty in Residual Networks for Crowds Flow Prediction. Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li |
| 2018 | Exploring Data Augmentation to Improve Music Genre Classification with ConvNets. Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos Nascimento Silla Jr. |
| 2018 | Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. Yifeng Li, Xiaodan Zhu |
| 2018 | Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour. Kamlesh Mistry, Jyoti Jasekar, Biju Issac, Li Zhang |
| 2018 | Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm. Fernando Itano, Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez |
| 2018 | Extract Generalization Ability from Convolutional Neural Networks. Huan Wu, Junmin Wu, Jie Ding |
| 2018 | Extracting Lungs from CT Images Using Fully Convolutional Networks. Jeovane Honório Alves, Pedro Martins Moreira Neto, Lucas F. Oliveira |
| 2018 | Extreme Graph Kernels for Online Learning on a Memory Budget. Nicolò Navarin, Giovanni Da San Martino, Alessandro Sperduti |
| 2018 | Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm. Adis Alihodzic, Eva Tuba, Dana Simian, Viktor Tuba, Milan Tuba |
| 2018 | Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter. L. Wesley Passos, Gabriel M. Araujo, Amaro A. de Lima, Felipe M. Lopes Ribeiro, Eduardo A. B. da Silva |
| 2018 | FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen |
| 2018 | Facial recognition application for border control. Laura Rodriguez Carlos-Roca, Isabelle Hupont Torres, Carles Fernández Tena |
| 2018 | Fast Compressor Map Computation by Utilizing Support Vector Machine and Response Surface Approximation. Dmitrij Ivanov, Dieter Bestle, Christian Janke |
| 2018 | Fast Training and Model Compression of Gated RNNs via Singular Value Decomposition. Rui Dai, Lefei Li, Wenjian Yu |
| 2018 | Fast and Efficient Deep Sparse Multi-Strength Spiking Neural Networks with Dynamic Pruning. Ruizhi Chen, Hong Ma, Shaolin Xie, Peng Guo, Pin Li, Donglin Wang |
| 2018 | Fault Detection and Diagnosis in a Chemical Process using Long Short-Term Memory Recurrent Neural Network. Gilberto M. Xavier, José Manoel de Seixas |
| 2018 | Fault Detection in Steel-Reinforced Concrete Using Echo State Networks. Adam J. Wootton, Charles R. Day, Peter W. Haycock |
| 2018 | Feature extraction analysis using filter banks for faults classification in induction motors. Jhonattan Bulla, Alvaro D. Orjuela-Cañón, Oscar D. Florez |
| 2018 | Few-shot Classifier GAN. Adamu Ali-Gombe, Eyad Elyan, Yann Savoye, Chrisina Jayne |
| 2018 | Financial Time Series Forecasting Using Non-Linear Methods and Stacked Autoencoders. Danilo Filippo Reiszel Pereira, Natanael Nunes de Moura Junior, Luiz Pereira Calôba |
| 2018 | Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering. Helen Jiahe Zhao, Jiamou Liu |
| 2018 | Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot. Edmanuel Cruz, José Carlos Rangel, Francisco Gomez-Donoso, Zuria Bauer, Miguel Cazorla, José García Rodríguez |
| 2018 | Fine-Grained Air Quality Prediction using Attention Based Neural Network. Tianyu Liu, Yongzhi Ying, Yanyan Xu, Dengfeng Ke, Kaile Su |
| 2018 | Flexible ranking extreme learning machine based on matrix-centering transformation. Shizhao Chen, Kai Chen, Chuanfu Xu, Long Lan |
| 2018 | Forecasting QoS Attributes Using LSTM Networks. Gary White, Andrei Palade, Siobhán Clarke |
| 2018 | Formal and computational model of Adam Smith's Invisible Hand. Tadeusz Szuba |
| 2018 | Formalization and Certification of Software for Smart Cities. Erick Simas Grilo, Bruno Lopes |
| 2018 | Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. Swastik Gupta, Konduri Hari Krishna, Ram Bilas Pachori, Muhammad Tanveer |
| 2018 | FraudNE: a Joint Embedding Approach for Fraud Detection. Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo |
| 2018 | From Orthography to Semantics: a Study of Morphological Processing through Deep Learning Neural Networks. Jaime Dávila, Joanna Morris |
| 2018 | Functional Locality Preserving Projection for Dimensionality Reduction. Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong |
| 2018 | Fusion of Interest Point/Image based descriptors for efficient person re-identification. Mohamed Ibn Khedher, Houda Jmila, Mounim A. El-Yacoubi |
| 2018 | Fuzzy ART-Based Classification via Sparse Bayesian Learning. Alan L. S. Matias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes |
| 2018 | Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base. Douglas W. F. L. Vilela, Anna Diva P. Lotufo, Carlos R. Santos-Junior |
| 2018 | GAN2C: Information Completion GAN with Dual Consistency Constraints. Lujuan Zhang, Jun Li, Tao Huang, Zhenyuan Ma, Zhiyong Lin, Mukesh Prasad |
| 2018 | GDPR Impact on Computational Intelligence Research. Keeley A. Crockett, Sean Goltz, Matt Garratt |
| 2018 | Gated Recurrent Units Based Neural Network For Tool Condition Monitoring. Huan Xu, Chong Zhang, Geok Soon Hong, Junhong Zhou, Jihoon Hong, Keng Soon Woon |
| 2018 | Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines. Ali Anaissi, Ali Braytee, Mohamad Naji |
| 2018 | Gaussian Processes with Context-Supported Priors for Active Object Localization. Anthony D. Rhodes, Jordan Witte, Melanie Mitchell, Bruno Jedynak |
| 2018 | Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification. Changhao Zhang, Yu Guo, Fei Wang, Badong Chen |
| 2018 | Generate Novel Image Styles using Weighted Hybrid Generative Adversarial Nets. Ming Li, Rui Xi, Mengshu Hou |
| 2018 | Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set. Shao-Yi Lu, Tien-Ruey Hsiang |
| 2018 | Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. Farzan Majdani, Andrei Petrovski, Sergey Petrovski |
| 2018 | Global Dynamics and Local Synchrony: Therapeutic Prospects for Implant Learning Devices. Denis Larrivee |
| 2018 | Goal Recognition in Latent Space. Leonardo Amado, Ramon Fraga Pereira, João Paulo Aires, Maurício Cecílio Magnaguagno, Roger Granada, Felipe Meneguzzi |
| 2018 | Goat Leather Quality Classification Using Computer Vision and Machine Learning. Renato F. Pereira, Cláudio M. S. Medeiros, Pedro Pedrosa Rebouças Filho |
| 2018 | Gradient Boosting Decision Trees for Echocardiogram Images. Vinícius Veloso de Melo, Daniela Mayumi Ushizima, Salety Ferreira Baracho, Regina Célia Coelho |
| 2018 | Graph Models of Neurodynamics to Support Oscillatory Associative Memories. Gabriel P. Andrade, Miklós Ruszinkó, Robert Kozma |
| 2018 | Grey-Box Neural Network System Identification with Transfer Learning on Ball and Beam System. Joseph K. P. Tsoi, Nitish D. Patel, Akshya K. Swain |
| 2018 | Grid-Based RFID Localization Using Tag Read Count And Received Signal Strength. Nanda Gopal Jeevarathnam, Ismail Uysal |
| 2018 | Guided Deep Reinforcement Learning in the GeoFriends2 Environment. David Simões, Nuno Lau, Luís Paulo Reis |
| 2018 | Half-precision Floating Point on Spiking Neural Networks Simulations in FPGA. Carolina Zambelli, João Ranhel |
| 2018 | Hand Gesture Recognition and Real-time Game Control Based on A Wearable Band with 6-axis Sensors. Yande Li, Taiqian Wang, Aamir Khan, Lian Li, Caihong Li, Yi Yang, Li Liu |
| 2018 | Handling Pedestrians in Crosswalks Using Deep Neural Networks in the IARA Autonomous Car. Ranik Guidolini, Lucas G. Scart, Luan F. R. Jesus, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos |
| 2018 | Hard Disk Drive Failure Prediction Method Based On A Bayesian Network. Iago C. Chaves, Manoel Rui P. de Paula, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado |
| 2018 | Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition. Rodrigo Ferreira Berriel, Lucas Tabelini Torres, Vinicius B. Cardoso, Ranik Guidolini, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos |
| 2018 | Hierarchical Autoencoder for Collaborative Filtering. Shubham Maheshwari, Angshul Majumdar |
| 2018 | Hierarchical Laplacian Score for unsupervised feature selection. Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah |
| 2018 | Hierarchical Tree Long Short-Term Memory for Sentence Representations. Xiuying Wang, Changliang Li, Bo Xu |
| 2018 | High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks. Fabricio P. Lucas, Pyramo Costa, Rose M. S. Batalha, Daniel F. Leite |
| 2018 | Hopf-Hopf Bifurcation and Chaos in A Ring Neural Oscillator due to A Single Shortcut. Yo Horikawa, Ken'ichi Fujimoto, Haruna Matsushita |
| 2018 | Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering. Luciano D. S. Pacífico, Teresa Bernarda Ludermir |
| 2018 | Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha |
| 2018 | Hybrid neural models for automatic handwritten digits recognition. Aline A. Peres, Susana M. Vieira, João Rogério Caldas Pinto |
| 2018 | Identification of thyroid nodules in infrared images by convolutional neural networks. Maira B. H. Moran, Aura Conci, José R. González, Adriel S. Araújo, W. G. Fiirst, Charbel P. Damião, Giovanna A. B. Lima, Rubens A. da Cruz Filho |
| 2018 | Identifying Bee Species by Means of the Foraging Pattern Using Machine Learning. Helder M. Arruda, Vera Lucia Imperatriz Fonseca, Paulo A. de Souza, Gustavo Pessin |
| 2018 | Identifying suutype specific network-Uiomarkers of breast cancer survivauility. Sheikh Jubair, Luis Rueda, Alioune Ngom |
| 2018 | Identity-preserving Conditional Generative Adversarial Network. Zhonghua Zhai, Jian Zhai |
| 2018 | Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization. Xianzhong Long, Yun Li |
| 2018 | Image Dehazing for Object Recognition using Faster RCNN. Bhanu Teja Nalla, Teena Sharma, Nishchal K. Verma, S. R. Sahoo |
| 2018 | Image Generation and Translation with Disentangled Representations. Tobias Hinz, Stefan Wermter |
| 2018 | Image Purification Networks: Real-time Style Transfer with Semantics through Feed-forward Synthesis. Tongtong Zhao, Yuxiao Yan, Ibrahim Shehi Shehu, Xianping Fu |
| 2018 | Image Recognition using MLMVN and Frequency Domain Features. Igor N. Aizenberg, Alexander Gonzalez |
| 2018 | Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. Sam Green, Craig M. Vineyard, Çetin Kaya Koç |
| 2018 | Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques. Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty |
| 2018 | Improvement of Energy Efficiency of Markov ACMV Systems based on PTS Information of Occupants. Deqing Zhai, Tanaya Chaudhuri, Yeng Chai Soh, Xianhua Ou, Chaoyang Jiang |
| 2018 | Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri |
| 2018 | Improving Human Action Recognition through Hierarchical Neural Network Classifiers. Pavel Zhdanov, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak |
| 2018 | Improving Instance Selection via Metric Learning. Eduardo Zarate Max, Ricardo Marcondes Marcacini, Edson Takashi Matsubara |
| 2018 | Improving Person Re-identification by Body Parts Segmentation Generated by GAN. Guoping Zhao, Jiacheng Jiang, Jiajun Liu, Yanlei Yu, Ji-Rong Wen |
| 2018 | Improving Speech Separation with Adversarial Network and Reinforcement Learning. Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu |
| 2018 | Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks. Daniel Luis Cosmo, Thaís Pedruzzi do Nascimento, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli |
| 2018 | Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach. Alexandre Miguel de Carvalho, Ronaldo Cristiano Prati |
| 2018 | Improving the accuracy of intelligent forecasting models using the Perturbation Theory. Eraylson G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto |
| 2018 | Impulse Response Modeling of Dynamical Systemswith Convolutional Neural Networks. Jeremias Barbosa Machado, Sidney Givigi |
| 2018 | Incorporating Lexicons into LSTM for Sentiment Classification. Yifei Lu, Yanghui Rao, Jun Yang, Jian Yin |
| 2018 | Incremental Adaptive EEG Classification of Motor Imagery-based BCI. Hai-Jun Rong, Changjun Li, Rong-Jing Bao, Badong Chen |
| 2018 | Incremental Dictionary Learning With Sparsity. Mahmood R. Azimi-Sadjadi, Yinghui Zhao, Sassan Sheedvash |
| 2018 | Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation. Lin Cui, Caiyin Wang, Jia Wu, Jian Yang, Michael Sheng |
| 2018 | Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. Gary Wong, Anuraganand Sharma, Rohitash Chandra |
| 2018 | Information State: A Representation for Dynamic Processes Using Information Theory. Amanda Gondim de Oliveira, Allan de Medeiros Martins, Adrião Duarte Dória Neto |
| 2018 | Instance Tumor Segmentation using Multitask Convolutional Neural Network. Mina Rezaei, Haojin Yang, Christoph Meinel |
| 2018 | Intelligent Deception Detection through Machine Based Interviewing. James O'Shea, Keeley A. Crockett, Wasiq Khan, Philippos Kindynis, Athos Antoniades, Georgios Boultadakis |
| 2018 | Interaction of CBC Loops Involved in Working Memory Feedback Training. Jiahui Shen, Airu Pang, Li Yao, Xiao-Jie Zhao |
| 2018 | Interpretable Deep Convolutional Neural Networks via Meta-learning. Xuan Liu, Xiaoguang Wang, Stan Matwin |
| 2018 | Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang |
| 2018 | Interpretative Topic Categorization Via Deep Multiple Instance Learning. Tong Yu, Meng Wang, Yanzhang Lv, Luguo Xue, Jun Liu |
| 2018 | Interpretive Reservoir: A Preliminary Study on The Association Between Artificial Neural Network and Biological Neural Network. Wei Wang, Yang Gao, Zhanpeng Jin |
| 2018 | Interval Type-2 Fuzzy weighted Extreme Learning Machine for GDP Prediction. Amit K. Shukla, Sandeep Kumar, Rishi Jagdev, Pranab K. Muhuri, Q. M. Danish Lohani |
| 2018 | Inverse Optimal Control Using A Neural Multi-Step Predictor For T1DM Treatment. Y. Yuliana Rios, Julio Alberto García-Rodríguez, Oscar D. Sánchez, Edgar N. Sánchez, Alma Y. Alanis, Eduardo Ruiz-Velázquez, Nancy Arana-Daniel |
| 2018 | Inverted Cone Convolutional Neural Network For Deboning MRIs. Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh |
| 2018 | Investigating multiobjective methods in multitask classification. Marcos M. Raimundo, Fernando J. Von Zuben |
| 2018 | Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers. Diego Silveira Costa Nascimento, Danilo R. C. Bandeira, Anne M. P. Canuto, Daniel Araújo |
| 2018 | Investigation into Sub-Receptive Fields of Retinal Ganglion Cells with Natural Images. Philip J. Vance, Gautham P. Das, Sonya A. Coleman, Dermot Kerr, Emmett Kerr, Thomas Martin McGinnity |
| 2018 | Is There a Purpose to Network Redundancy? Melissa Johnson, Sylvain Chartier |
| 2018 | K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin |
| 2018 | Kernelized Convex Hull Approximation and its Applications in Data Description Tasks. Chengqiang Huang, Yulei Wu, Geyong Min, Yiming Ying |
| 2018 | Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. Isaac J. Sledge, José C. Príncipe |
| 2018 | Knowledge-Uncertainty Axiomatized Framework with Support Vector Machines for Sparse Hyperparameter Optimization. Marcin Orchel |
| 2018 | LSTM-based Flight Trajectory Prediction. Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang |
| 2018 | Large-Scale Linear NPSVM via One Permutation Hashing. Jingjing Tang, Yingjie Tian, Dalian Liu |
| 2018 | Latent HyperNet: Exploring the Layers of Convolutional Neural Networks. Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz |
| 2018 | Lateral Representation Learning in Convolutional Neural Networks. Pedro L. Ballester, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo |
| 2018 | Learning Device Models with Recurrent Neural Networks. John Clemens |
| 2018 | Learning Empathy-Driven Emotion Expressions using Affective Modulations. Nikhil Churamani, Pablo V. A. Barros, Erik Strahl, Stefan Wermter |
| 2018 | Learning Environmental Sounds with Multi-scale Convolutional Neural Network. Boqing Zhu, Changjian Wang, Feng Liu, Jin Lei, Zhen Huang, Yuxing Peng, Fei Li |
| 2018 | Learning Fluid Flows. Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew |
| 2018 | Learning Insulators Segmentation from Synthetic Samples Wenkai Chang, Guodong Yang, Zhengxing Wu, Zize Liang |
| 2018 | Learning Stable Movement Primitives by Finding a Suitable Fuzzy Lyapunov Function from Kinesthetic Demonstrations. Samrat Dutta, Swagat Kumar, Laxmidhar Behera |
| 2018 | Learning Transferable Features For Open-Domain Question Answering. Gianlucca L. Zuin, Luiz Chaimowicz, Adriano Veloso |
| 2018 | Learning Useful Representations Through Stacked Self-Organizing Maps. Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Basarab Matei |
| 2018 | Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. Gonzalo Rios, Felipe A. Tobar |
| 2018 | Learning to Cluster for Proposal-Free Instance Segmentation. Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang |
| 2018 | Learning to Rank with Deep Autoencoder Features. Alberto Albuquerque, Tiago Amador, Renato Ferreira, Adriano Veloso, Nivio Ziviani |
| 2018 | Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings. Tina Krigel, Benjamin Schütze, Jonathan Stoklas |
| 2018 | Lifting Wavelet Transform based Fast Watermarking of Video Summaries using Extreme Learning Machine. Anurag Mishra, Charu Agarwal, Girija Chetty |
| 2018 | Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images. Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Aldísio Gonçalves Medeiros, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho |
| 2018 | Logistics SLA optimization service for transportation in smart cities. Edcarllos Santos, Puca Huachi Vaz Penna, Igor Machado Coelho, Heder Dorneles Soares, Luiz Satoru Ochi, Luidi Simonetti |
| 2018 | Long-Short Term Memory Networks for Modelling Embodied Mathematical Cognition in Robots. Alessandro G. Di Nuovo |
| 2018 | Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu |
| 2018 | Low Latency Spiking ConvNets with Restricted Output Training and False Spike Inhibition. Ruizhi Chen, Hong Ma, Peng Guo, Shaolin Xie, Pin Li, Donglin Wang |
| 2018 | Low Power Memristor Crossbar Based Winner Takes All Circuit. Rasitha Fernando, Raqibul Hasan, Tarek M. Taha |
| 2018 | Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks. Shengyang Sun, Jiwei Li, Zhiwei Li, Haijun Liu, Qingjiang Li, Hui Xu |
| 2018 | MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware. Tinish Bhattacharya, Vivek Parmar, Manan Suri |
| 2018 | MNRD: A Merged Neural Model For Rumor Detection In Social Media. Nan Xu, Guandan Chen, Wenji Mao |
| 2018 | MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio |
| 2018 | Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images. Sohini Roychowdhury, Minming Zhao, Andreas Wallin, Niklas Ohlsson, Mats Jonasson |
| 2018 | Manifold Correlation Graph for Semi-Supervised Learning. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme |
| 2018 | Mapping Road Lanes Using Laser Remission and Deep Neural Networks. Raphael V. Carneiro, Rafael Correia Nascimento, Ranik Guidolini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza |
| 2018 | Mastering the Output Frequency in Spiking Neural Networks. Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet |
| 2018 | Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent. Ashraf M. Abdelbar, Islam El-Nabarawy, Khalid M. Salama, Donald C. Wunsch |
| 2018 | McDiarmid Drift Detection Methods for Evolving Data Streams. Ali Pesaranghader, Herna L. Viktor, Eric Paquet |
| 2018 | Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network. Alexandre Yukio Ichida, Felipe Meneguzzi, Duncan D. Ruiz |
| 2018 | Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm. Luís Santos, Rodrigo M. S. Veras, Kelson Rômulo Teixeira Aires, Laurindo Britto, Vinícius P. Machado |
| 2018 | Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications. Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Jincai Li, Yuxing Peng |
| 2018 | Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization. Thy Nguyen, Arthur Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi |
| 2018 | Metagenomics-based signature clustering and interactive visualization analysis. Vitor Cirilo Araujo Santos, Leandro Corrêa, Bianchi Serique Meiguins, Guilherme Oliveira, Ronnie Alves |
| 2018 | Methodology Based on Texture, Color and Shape Features For Traffic Light Detection and Recognition. Júlio César da Silva Soares, Tiago Bonini Borchartt, Anselmo Cardoso de Paiva, Areolino de Almeida Neto |
| 2018 | Methods to Improve Multi-Step Time Series Prediction. Arief Koesdwiady, Alaa El Khatib, Fakhri Karray |
| 2018 | Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm. Stefano Leonori, Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli |
| 2018 | Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven |
| 2018 | Mining Daily Canonical Correlations among Multivariable Electricity, Gas and Climate Data. Zigui Jiang, Rongheng Lin, Fangchun Yang |
| 2018 | Mining Port Congestion Indicators from Big AIS Data. Ibrahim Y. Abualhaol, Rafael Falcon, Rami S. Abielmona, Emil M. Petriu |
| 2018 | Mixing Habits and Planning for Multi-Step Target Reaching Using Arbitrated Predictive Actor-Critic. Farzaneh Sheikhnezhad Fard, Thomas Trappenberg |
| 2018 | Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau |
| 2018 | Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. Qichao Zhang, Dongbin Zhao, Frank L. Lewis |
| 2018 | Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering. Fabrizio Frasca, Matteo Matteucci, Marco Masseroli, Marco J. Morelli |
| 2018 | Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu |
| 2018 | More Realistic and Efficient Face-Based Mobile Authentication using CNNs. Abhijit Das, Abira Sengupta, Muhammad Saqib, Umapada Pal, Michael Blumenstein |
| 2018 | Motor Imagery Classification Using TSK Fuzzy Inference Neural Networks. Rory Donovan, Xiao-Hua Yu |
| 2018 | Multi ROI and Multi Map Networks for Accurate and Efficient Pedestrian Detection. Zhe Qiu, Xiaodong Gu |
| 2018 | Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks. Adrian Horzyk, Janusz A. Starzyk |
| 2018 | Multi-Task Modular Backpropagation For Dynamic Time Series Prediction. Rohitash Chandra |
| 2018 | Multi-feature Classification of Hyperspectral Image via Probabilistic SVM and Guided Filter. Chengkun Zhang, Meiling Xu |
| 2018 | Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking. Xing Chen, Xiang Zhang, Huibin Tan, Long Lan, Zhigang Luo, Xuhui Huang |
| 2018 | Multi-label Classification of Surgical Tools with Convolutional Neural Networks. Jonas Prellberg, Oliver Kramer |
| 2018 | Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho |
| 2018 | Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. Francisco Cruz, German Ignacio Parisi, Stefan Wermter |
| 2018 | Multi-modal Remote Sensing Image Classification for Low Sample Size Data. Qi He, Yao Lee, Dongmei Huang, Shengqi He, Wei Song, Yanling Du |
| 2018 | Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees. Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan |
| 2018 | Multi-spectral missing label prediction via restoration using deep residual dictionary learning. Karthik Seemakurthy, Jayavardhana Gubbi, Shailesh S. Deshpande, Balamuralidhar Purushothaman, Angshul Majumdar |
| 2018 | Multi-view Construction for Clustering Based on Feature set Partitioning. Xiaojing Chang, Yan Yang, Hongiun Wang |
| 2018 | Multi-view Vehicle Detection based on Part Model with Active Learning. Mukesh Prasad, Chih-Ling Liu, Dong-Lin Li, Chandan Jha, Chin-Teng Lin |
| 2018 | Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features. Sharath Adavanne, Archontis Politis, Tuomas Virtanen |
| 2018 | Multimodal Deep Neural Network with Image Sequence Features for Video Captioning. Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki |
| 2018 | Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields. Ntombikayise Banda, Andries P. Engelbrecht |
| 2018 | Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. He Li, Wei-Long Zheng, Bao-Liang Lu |
| 2018 | N2Sky - A Neural Network Problem Solving Environment Fostering Virtual Resources. Andrii Fedorenko, Aliaksandr Adamenko, Erich Schikuta |
| 2018 | NEGAN: Network Embedding based on Generative Adversarial Networks. Yinfeng Ban, Juhua Pu, Yujun Chen, Yuanhong Wang |
| 2018 | Natural Language Processing approach to NLP Meta model automation. Mohammad Hossein Amirhosseini, Hassan B. Kazemian, Karim Ouazzane, Chris Chandler |
| 2018 | Neural Network Modeling of Gist and Verbatim in Business Decision Making. Daniel S. Levine, Kay-Yut Chen |
| 2018 | Neural Network Prediction Interval Based on Joint Supervision. Nicolás Cruz, Luis G. Marin, Doris Sáez |
| 2018 | Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays. Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi |
| 2018 | Neural decoding with SVM and feature selection in a rat active tactile discrimination task. Andy Anand Gajadhar, Renan Cipriano Moioli, Bianca Karla Amorim Sousa de Melo, Ana Carolina Bione Kunicki, Andre Salles Cunha Peres, Thaís Gaudencio do Rêgo |
| 2018 | Neural inverse optimal pinning control for synchronization of complex networks with nonidentical chaotic nodes. Carlos J. Vega, Edgar N. Sánchez |
| 2018 | Neuro Fuzzy Architecture for Gray Scale Image Watermarking using Fractal Dimensions. Anurag Mishra, Khushwant Sehra, Girija Chetty |
| 2018 | Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots. Diego Renan Bruno, Norian Marranghello, Fernando Santos Osório, Aledir Silveira Pereira |
| 2018 | Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman |
| 2018 | Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar |
| 2018 | Nominal Data Similarity: A Hierarchical Measure. Hao Yu, Zhaoning Zhang, Zijie Zhu, Wang Xiong, Gen Zhang |
| 2018 | Non-Invasive Motion Analysis for Stroke Rehabilitation using off the Shelf 3D Sensors. Nadav Eichler, Hagit Hel-Or, Ilan Shimshoni, Dorit Itah, Bella Gross, Shmuel Raz |
| 2018 | Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. Mayank Sharma, Sumit Soman, Jayadeva, Himanshu Pant |
| 2018 | Non-negative Structured Pyramidal Neural Network for Pattern Recognition. Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho |
| 2018 | Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh |
| 2018 | Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent. Alaa El Khatib, Shimeng Huang, Ali Ghodsi, Fakhri Karray |
| 2018 | Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero |
| 2018 | Norm Conflict Identification using Vector Space Offsets. João Paulo Aires, Juarez Monteiro, Roger Granada, Felipe Meneguzzi |
| 2018 | Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders. Vinicius dos Santos Mello, Natanael Nunes de Moura Junior, José Manoel de Seixas |
| 2018 | Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems. Christopher Dahlin Rodin, Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Diego Barreto Haddad, Tor Arne Johansen, Rune Storvold |
| 2018 | Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving. Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan |
| 2018 | Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification. Jichao Chen, Yijie Zeng, Siqi Wang, Soh Ling Min, Guang-Bin Huang |
| 2018 | Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems. Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch |
| 2018 | On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays. Leonardo Moreira, Christofer Dantas, Leonardo Oliveira, Jorge Soares, Eduardo S. Ogasawara |
| 2018 | On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2018 | On democratic evaluation of nodes representativity. Gabriel Rufino Cerquinho Pinheiro, Bilza Marques de Aurajo |
| 2018 | Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition. Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou |
| 2018 | Online Max-flow Learning via Augmenting and De-augmenting Path. Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue |
| 2018 | Online Semi-supervised Growing Neural Gas for Multi-label Data Classification. Samira Boulbazine, Guénaël Cabanes, Basarab Matei, Younès Bennani |
| 2018 | Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network. Stéphane Chrétien, Christophe Guyeux |
| 2018 | Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. Bi Wu, Zhihua Cai, Xiaobo Liu |
| 2018 | Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production. Kelly J. Gurubel, Edgar N. Sánchez, Alberto Coronado-Mendoza, Virgilio Zúñiga, Belkis Sulbaran |
| 2018 | Optimizing exchange confidence during collaborative clustering. Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei, Younès Bennani |
| 2018 | Optoelectronic Reservoir Computing with VCSEL. Jean Benoit Héroux, Hidetoshi Numata, Naoki Kanazawa, Daiju Nakano |
| 2018 | Ordinal Image Segmentation using Deep Neural Networks. Kelwin Fernandes, Jaime S. Cardoso |
| 2018 | Outdoor-To-Indoor Power Prediction for 768 MHZ Wireless Mobile Transmission Using Multilayer Perceptron. Matheus B. Moura, Daniel C. Vidal, Carla Schueler, Leni J. de Matos, Tadeu N. Ferreira |
| 2018 | Outlier Detection Based on the Data Structure. Feng Guo, Canghong Shi, Xiaojie Li, Jia He, Xi Wu |
| 2018 | Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks. Murilo Falleiros Lemos Schmitt, Eduardo Jaques Spinosa |
| 2018 | Overview of Deep Learning Architectures for EEG-based Brain Imaging. Lachezar Bozhkov, Petia Georgieva |
| 2018 | Parameter Transfer Extreme Learning Machine based on Projective Model. Chao Chen, Boyuan Jiang, Xinyu Jin |
| 2018 | Paraphrase Recognition via Combination of Neural Classifier and Keywords. Xiuying Wang, Changliang Li, Zhijun Zheng, Bo Xu |
| 2018 | Pareto cascade modeling of diffusion networks. Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins |
| 2018 | Partial Adversarial Training for Prediction Interval. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi |
| 2018 | Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning. Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan |
| 2018 | Pattern Analysis in Drilling Reports using Optimum-Path Forest. Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa |
| 2018 | Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso |
| 2018 | Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi |
| 2018 | Perceptual-DualGAN: Perceptual Losses for Image to Image Translation with Generative Adversarial Nets. Xuexin Qu, Xin Wang, Zihan Wang, Lei Wang, Lingchen Zhang |
| 2018 | Performance of entire-spectrum-processing complex-valued neural-network filter to generate digital elevation model in interferometric radar. Kohei Oyama, Akira Hirose |
| 2018 | Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks. Muhammad Saqib, Sultan Daud Khan, Nabin Sharma, Michael Blumenstein |
| 2018 | Person Identification based on Smartphones Inertial Sensors. Rafael Saraiva Campos, Lisandro Lovisolo |
| 2018 | Physiological-Based Emotion Detection and Recognition in a Video Game Context. Wenlu Yang, Maria Rifqi, Christophe Marsala, Andréa Pinna |
| 2018 | Plant Classification Using Artificial Neural Networks. Luciano D. S. Pacífico, Valmir Macário Filho, João F. L. Oliveira |
| 2018 | Point Cloud Object Recognition using 3D Convolutional Neural Networks. Marcelo Borghetti Soares, Stefan Wermter |
| 2018 | Pointer Based Routing Scheme for On-chip Learning in Neuromorphic Systems. Vladimir Kornijcuk, Doo Seok Jeong |
| 2018 | Post-Processing Methods to Enforce Monotonic Constraints in Ant Colony Classification Algorithms. James Brookhouse, Fernando E. B. Otero |
| 2018 | Practical Nonlinear Model Predictive Control Using an Echo State Network Model. Bernardo Barancelli Schwedersky, Varuna Adikariwattage |
| 2018 | Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble. Siddharth Dadhich, Fredrik Sandin, Ulf Bodin |
| 2018 | Predicting Concept Drift in Data Streams Using Metadata Clustering. Robert Anderson, Yun Sing Koh, Gillian Dobbie |
| 2018 | Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning. Yi Zheng, Hui Peng, Xiaocai Zhang, Xiaoying Gao, Jinyan Li |
| 2018 | Predicting Nodule Malignancy using a CNN Ensemble Approach. Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies |
| 2018 | Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. Alexander M. Glandon, Sharif Ullah, Lasitha Vidyaratne, Mahbubul Alam, C. Xin, Khan M. Iftekharuddin |
| 2018 | Priority-based Soft Vector Quantization Feature Maps. Prayag Gowgi, Amrutha Machireddy, Shayan Srinivasa Garani |
| 2018 | Probabilistic Inference of the Packet Delivery Ratio in Industrial Wireless Sensor Networks. Heitor Florencio, Adriao Doria Neto |
| 2018 | Promoting Cooperative Strategies on Proof-of-Work Blockchain. Seunghyun Yoo, Seungbae Kim, Joshua Joy, Mario Gerla |
| 2018 | Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data. Marcio Rubbo, Leandro Augusto da Silva |
| 2018 | Prototype-based Clustering for Relational Data using Barycentric Coordinates. Parisa Rastin, Basarab Matei |
| 2018 | PruNet: Class-Blind Pruning Method For Deep Neural Networks. Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2018 | Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks. He Jiang, Haibo He, Lingjia Liu, Yang Yi |
| 2018 | Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem. Thiago Henrique Freire de Oliveira, Adrião Duarte Dória Neto, Jorge Dantas de Melo |
| 2018 | Quantum Perceptron with Dynamic Internal Memory. Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva |
| 2018 | Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin |
| 2018 | Quaternionic Recurrent Correlation Neural Networks. Marcos Eduardo Valle |
| 2018 | Question Classification by Convolutional Neural Networks Embodying Subword Information. Marco Pota, Massimo Esposito |
| 2018 | RNN Encoder-Decoder for the inference of regular human mobility patterns. Mehdi Katranji, Guilhem Sanmarty, Laurent Moalic, Sami Kraiem, Alexandre Caminada, Fouad Hadj-Selem |
| 2018 | Random Projection Neural Network Approximation. Peter Andras |
| 2018 | Rank-order principal components. A separation algorithm for ordinal data exploration. Vincent Vigneron, Leonardo Tomazeli Duarte |
| 2018 | Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification. Linfei Ma, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo |
| 2018 | Real-Time Battery Bank Charge-Discharge Using Neural Sliding Mode Control. Tania B. Lopez-Garcia, Riemann Ruiz-Cruz, Edgar N. Sánchez |
| 2018 | Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People. Marcelo Cabral Ghilardi, Gabriel S. Simoes, Jonatas Wehrmann, Isabel Harb Manssour, Rodrigo C. Barros |
| 2018 | Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture. Luiza Mici, German Ignacio Parisi, Stefan Wermter |
| 2018 | Recognition of Endangered Pantanal Animal Species using Deep Learning Methods. Mauro dos Santos de Arruda, Gabriel Spadon, José F. Rodrigues Jr., Wesley Nunes Gonçalves, Bruno Brandoli Machado |
| 2018 | Recurrent High Order Neural Networks Identification for Infectious Diseases. Gustavo Hernandez-Mejia, Esteban A. Hernández-Vargas, Alma Y. Alanis, Nancy Arana-Daniel |
| 2018 | Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir |
| 2018 | Reducing the Computation Load of Convolutional Neural Networks through Gate Classification. Simone Disabato, Manuel Roveri |
| 2018 | Redundancy in Convolutional Neural Networks: Insights on Model Compression and Structure. Sasa Janjic, Parimala Thulasiraman, Neil D. B. Bruce |
| 2018 | Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering. Faicel Chamroukhi, Bao Tuyen Huynh |
| 2018 | Remaining Useful Life Estimation of Hard Disk Drives based on Deep Neural Networks. Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado |
| 2018 | Representation of Deep Features using Radiologist defined Semantic Features. Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies |
| 2018 | Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance. Christopher Frederickson, Robi Polikar |
| 2018 | Research of Recharging Scheduling Scheme for Wireless Sensor Networks Based on Cuckoo Search. Haotian Chang, Jing Feng, Chaofan Duan, Zhikang Xu, Min Yin |
| 2018 | Residential Energy Management with Deep Reinforcement Learning. Zhiqiang Wan, Hepeng Li, Haibo He |
| 2018 | Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. Phuoc Nguyen, Truyen Tran, Svetha Venkatesh |
| 2018 | Restricted Boltzmann Machines for the Prediction of Trends in Financial Time Series. Carlos A. S. Assis, Adriano C. M. Pereira, Eduardo G. Carrano, Rafael Ramos, Wanderson Dias |
| 2018 | Road Pollution Estimation Using Static Cameras And Neural Networks. Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi |
| 2018 | Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu |
| 2018 | Robust Human Action Recognition Using Global Spatial-Temporal Attention for Human Skeleton Data. Yun Han, Sheng-Luen Chung, Arul-Murugan Ambikapathi, Jui-Shan Chan, Wei-You Lin, Shun-Feng Su |
| 2018 | Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss. Lei Xing, Yunqi Mi, Yuanhao Li, Badong Chen |
| 2018 | Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring. Megha Gupta, Angshul Majumdar |
| 2018 | SOMNet: Unsupervised Feature Learning Networks for Image Classification. Richard Hankins, Yao Peng, Hujun Yin |
| 2018 | SQNL: A New Computationally Efficient Activation Function. Adedamola Wuraola, Nitish D. Patel |
| 2018 | ST-DRN: Deep Residual Networks for Spatio-Temporal Metro Stations Crowd Flows Forecast. Yang Ning, Yang Huang, Jinyang Li, Qi Liu, Disheng Yang, Wei Zheng, Hengchang Liu |
| 2018 | STDP Learning of Image Patches with Convolutional Spiking Neural Networks. Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó |
| 2018 | Scalable NoC-based Neuromorphic Hardware Learning and Inference. Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu |
| 2018 | Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training. Martin D. Móre, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros |
| 2018 | Secant manifold constrained random projections -Improved cluster ensembles. Jonas Nordhaug Myhre |
| 2018 | SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir |
| 2018 | Segmentation-Free Approaches For Handwritten Numeral String Recognition. Andre G. Hochuli, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin |
| 2018 | Selecting local ensembles for multi-class imbalanced data classification. Bartosz Krawczyk, Alberto Cano, Michal Wozniak |
| 2018 | Self-Aware Smart Contracts with Legal Relevance. Alex Norta |
| 2018 | Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation. Raphael C. Brito, Hansenclever de F. Bassani |
| 2018 | Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. Marco Vannucci, Valentina Colla |
| 2018 | Semantic Image Segmentation Based on Attentions to Intra Scales and Inner Channels. Hongchao Lu, Zhidong Deng, Xiaolong Liu |
| 2018 | Semi-Supervised Clustering With Multiresolution Autoencoders. Dino Ienco, Ruggero G. Pensa |
| 2018 | Semi-Supervised Learning For Imbalanced Classification Of Credit Card Transaction. Addisson Salazar, Gonzalo Safont, Luis Vergara |
| 2018 | Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments. Ange Tato, Roger Nkambou, Aude Dufresne, Claude Frasson |
| 2018 | Semi-Supervised Online Elastic Extreme Learning Machine for Data Classification. Carlos A. S. da Silva, Renato A. Krohling |
| 2018 | Semi-supervised Feature Selection Based on Least Square Regression with Redundancy Minimization. Siqi Xu, Jianhua Dai, Hong Shi |
| 2018 | Sensor-based Vital Sign Monitoring, Analysis and Visualisation for Ageing in Place. E. P. Kerr, Sonya A. Coleman, Dermot Kerr, Philip J. Vance, Bryan Gardiner, Y. Zhang, F. Wang, Chengdong Wu |
| 2018 | Sensorimotor in Space and Time: Audition. Xiang Wu, Zejia Zheng, Juyang Weng |
| 2018 | SensoryGANs: An Effective Generative Adversarial Framework for Sensor-based Human Activity Recognition. Jiwei Wang, Yiqiang Chen, Yang Gu, Yunlong Xiao, Haonan Pan |
| 2018 | SeriesNet: A Generative Time Series Forecasting Model. Zhipeng Shen, Yuanming Zhang, Jiawei Lu, Jun Xu, Gang Xiao |
| 2018 | Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification. Kaleb E. Smith, Phillip Williams, Kaylen J. Bryan, Mitchell Solomon, Max Ble, Rana Haber |
| 2018 | Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity. De Guo, Meng Chen, Xiaohui Yu, Yang Liu |
| 2018 | Short-term prediction in an Oscillating Water Column using Artificial Neural Networks. Marta P. B. Fernandes, Susana M. Vieira, João C. C. Henriques, Duarte Valério, Luís M. C. Gato |
| 2018 | Similarity-based Multi-label Learning. Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou |
| 2018 | Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity. Julio J. Valdés, Zachary Baird, Sreeraman Rajan, Miodrag Bolic |
| 2018 | Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma |
| 2018 | Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini |
| 2018 | Soccer Video Super-Resolution via Sub-Pixel Convolutional Neural Network. Haoyu Wang, Yao Lu |
| 2018 | Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training. Yangjie Qi, Raqibul Hasan, Tarek M. Taha |
| 2018 | Solving economic dispatch problem under valve- point loading effects and generation constrains using a multi-gradient PSO algorithm. Loau Tawfak Al Bahrani, Jagdish C. Patra, Alex Stojcevski |
| 2018 | Sparse Autoencoders for Posture Recognition. Doreen Jirak, Stefan Wermter |
| 2018 | Sparse least squares support vector regression for nonstationary systems. Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang |
| 2018 | Sparsity-Aware Distributed Adaptive Filtering Algorithms for Nonlinear System Identification. Robson Antonio do Prado, Felipe da Rocha Henriques, Diego Barreto Haddad |
| 2018 | Spatial Effects of Video Compression on Classification in Convolutional Neural Networks. Pamela Johnston, Eyad Elyan, Chrisina Jayne |
| 2018 | Spike Counts Based Low Complexity Learning with Binary Synapse. Hoyoung Tang, Heetak Kim, Donghyeon Cho, Jongsun Park |
| 2018 | Spike Train Synchrony Analysis of Neuronal Cultures. Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity |
| 2018 | Spiking Locality-Sensitive Hash: Spiking Computation with Phase Encoding Method. Ziru Wang, Yongqiang Ma, Zhiwei Dong, Nanning Zheng, Pengju Ren |
| 2018 | Spiking Neural Algorithms for Markov Process Random Walk. William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone |
| 2018 | Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning. Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou |
| 2018 | Spiking-Neural-Network Based Fugl-Meyer Hand Gesture Recognition For Wearable Hand Rehabilitation Robot. Yang Liu, Long Cheng |
| 2018 | Spying on chaos-based cryptosystems with reservoir computing. Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Damien Rontani, Marc Haelterman, Serge Massar |
| 2018 | SqueezeGAN: Image to Image Translation With Minimum Parameters. Sachin Kelkar, Chetanya Rastogi, Sparsh Gupta, G. N. Pillai |
| 2018 | Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez |
| 2018 | Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning. Bruno Almeida Pimentel, André C. P. L. F. de Carvalho |
| 2018 | Stochastic Multiple Choice Learning for Acoustic Modeling. Bin Liu, Shuai Nie, Shan Liang, Zhanlei Yang, Wenju Liu |
| 2018 | Stochastic Neural Interface with Selective Synapse. José M. Quero, Pablo J. Quero |
| 2018 | Stroke Lesion Detection Using Convolutional Neural Networks. Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque |
| 2018 | Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. Deepthi Badarinath, Chaitra S, Neha Bharill, Muhammad Tanveer, Mukesh Prasad, H. N. Suma, Abhishek M. Appaji, Anand Vinekar |
| 2018 | Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil |
| 2018 | Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello |
| 2018 | Supervised Approaches for Protein Function Prediction by Topological Data Analysis. Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification. Vanika Singhal, Angshul Majumdar |
| 2018 | Supervised Neural Network with multilevel input layers for predicting of air traffic delays. Daniel Alberto Pamplona, Weigang Li, Alexandre Gomes de Barros, Elcio Hideiti Shiguemori, Claudio Jorge Pinto Alves |
| 2018 | Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). Kan Li, José C. Príncipe |
| 2018 | Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control. Tung Nguyen, Hung The Nguyen, Essam Soliman Debie, Kathryn Kasmarik, Matthew Garratt, Hussein A. Abbass |
| 2018 | Syllable-Based Acoustic Modeling with CTC for Multi-Scenarios Mandarin speech recognition. Yuanyuan Zhao, Linhao Dong, Shuang Xu, Bo Xu |
| 2018 | Symbols Classification in Engineering Drawings. Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne |
| 2018 | TA4REC: Recurrent Neural Networks with Time Attention Factors for Session-based Recommendations. Yu Sun, Peize Zhao, Honggang Zhang |
| 2018 | TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site. Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate |
| 2018 | TD(0)-Replay: An Efficient Model-Free Planning with full Replay. Abdulrahman Altahhan |
| 2018 | THU Face Database for Real-Time Automatic Video Scoring Model. Yifeng Liu, Xiaoming Tao, Ailing Xiao |
| 2018 | Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. Margherita Gasparini, Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli |
| 2018 | Temporal Hierarchies in Sequence to Sequence for Sentence Correction. Gwenaelle Cunha Sergio, Dennis Singh Moirangthem, Minho Lee |
| 2018 | Temporal Link Prediction Using Cluster and Temporal Information Based Motif Feature. Yi Li, Yanlong Wen, Peng Nie, Xiaojie Yuan |
| 2018 | Tensor Decomposition for Compressing Recurrent Neural Network. Andros Tjandra, Sakriani Sakti, Satoshi Nakamura |
| 2018 | Terrain Classification for Autonomous Vehicles Using Bat-Inspired Echolocation. Nathan Riopelle, Philip Caspers, Donald Sofge |
| 2018 | Text Classification Based On Word Subspace With Term-Frequency. Erica K. Shimomoto, Lincon Sales de Souza, Bernardo B. Gatto, Kazuhiro Fukui |
| 2018 | Text-To-Text Generative Adversarial Networks. Changliang Li, Yixin Su, Wenju Liu |
| 2018 | The Context-Aware Learning Model: experience-powered Logistic Regression Backpropagation (CALM-epLRB). Joohee Suh, Dean Frederick Hougen |
| 2018 | The Context-Aware Learning Model: neuro-experience-powered Logistic Regression Backpropagation (CALM-nepLRB). Joohee Suh, Dean Frederick Hougen |
| 2018 | The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. Sara Ross-Howe, Hamid R. Tizhoosh |
| 2018 | The Evolution of Embedding Metadata in Blockchain Transactions. Tooba Faisal, Nicolas T. Courtois, Antoaneta Serguieva |
| 2018 | The Horcrux Protocol: A Method for Decentralized Biometric-based Self-sovereign Identity. Asem Othman, John Callahan |
| 2018 | The Next Evolution in Funding Innovation. Gabriel Dusil, Dalibor Cerny |
| 2018 | The OMG-Emotion Behavior Dataset. Pablo V. A. Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter |
| 2018 | The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang |
| 2018 | The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick |
| 2018 | The Scalable Version of Probabilistic Linear Discriminant Analysis and Its Potential as A Classifier for Audio Signal Classification. Yuechi Jiang, Frank H. F. Leung |
| 2018 | The impact of Interconnecting Topologies on SOM Neural Networks. Mayra Z. Pimenta, Cesar Henrique Comin, Francisco Aparecido Rodrigues, Luciano da F. Costa |
| 2018 | Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek |
| 2018 | Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis. Leandro Anghinoni, Liang Zhao, Qiusheng Zheng, Junbo Zhang |
| 2018 | Top-Down Person Re-Identification With Siamese Convolutional Neural Networks. Ziyu Liu, Alexander McClung, Henry Wing Fung Yeung, Yuk Ying Chung, Seid Miad Zandavi |
| 2018 | Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes. Ryan Burt, José C. Príncipe |
| 2018 | Topic Discovery for Streaming Short Texts with CTM. Yunfeng Xu, Hua Xu, Longxia Zhu, Hanyong Hao, Junhui Deng, Xiaomin Sun, Xiaoli Bai |
| 2018 | Topic Modeling using Variational Auto-Encoders with Gumbel-Softmax and Logistic-Normal Mixture Distributions. Denys Silveira, André Luiz da Costa Carvalho, Marco Cristo, Marie-Francine Moens |
| 2018 | Topic recommendation using Doc2Vec. Petros S. Karvelis, Dimitris Gavrilis, George K. Georgoulas, Chrysostomos D. Stylios |
| 2018 | Topological Evolution of Spiking Neural Networks. Sam Slade, Li Zhang |
| 2018 | Towards Automatically Creating Large Labeled Datasets for Training Question Domain Classifiers. Leandro L. Tavares, Renato Moraes Silva, Tiago A. Almeida |
| 2018 | Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan |
| 2018 | Towards High-Resolution Face Pose Synthesis. Douglas M. Souza, Duncan D. Ruiz |
| 2018 | Towards Predicting Dengue Fever Rates Using Convolutional Neural Networks and Street-Level Images. Virginia Ortiz Andersson, Marco A. Ferreira Birck, Ricardo Matsumura de Araújo |
| 2018 | Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. Vítor Lourenço, Paulo Mann, Artur Guimaraes, Aline Paes, Daniel de Oliveira |
| 2018 | Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning. Feixiang Wang, Man Lan, Wenting Wang |
| 2018 | Towards the Learning of Weighted Multi-label Associative Classifiers. Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin |
| 2018 | Towards the next generation of exergames: Flexible and personalised assessment-based identification of tennis swings. Boris Bacic |
| 2018 | Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks. Claudio A. Perez, Pablo A. Estévez, Francisco J. Galdames, Daniel A. Schulz, Juan P. Perez, Diego Bastias, Daniel R. Vilar |
| 2018 | Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. Dimitrios Kollias, Stefanos Zafeiriou |
| 2018 | Training Recurrent Neural Network on Distributed Representation Space for Session-based Recommendation. Yue Gui, Zhi Xu |
| 2018 | Training Spiking ConvNets by STDP and Gradient Descent. Amirhossein Tavanaei, Zachary Kirby, Anthony S. Maida |
| 2018 | Transfer Learning Based Model for Classification of Cocoa Pods. Juliana Rodrigueiro C. P. de Oliveira, Roseli Aparecida Francelin Romero |
| 2018 | Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors. Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio |
| 2018 | Transferring State Representations in Hierarchical Spiking Neural Networks. Barna Zajzon, Renato C. Duarte, Abigail Morrison |
| 2018 | TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Groß |
| 2018 | Twin Neural Networks for Efficient EEG Signal Classification. Himanshu Pant, Sumit Soman, Jayadeva, Mayank Sharma |
| 2018 | Twitter Sentiment Classification Based on Deep Random Vector Functional Link. Pablo A. Henríquez, Gonzalo A. Ruz |
| 2018 | Two-stage Unsupervised Multiple Kernel Extreme Learning Machine. Guohan Zhao, Lingyun Xiang, Chengzhang Zhu, Feng Li |
| 2018 | Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank |
| 2018 | Unsupervised Learning of Depth and Pose Estimation based on Continuous Frame Window. SuNing Shang, Huaimin Wang, Pengfei Zhang, Bo Ding |
| 2018 | Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan |
| 2018 | Unsupervised Learning using Pretrained CNN and Associative Memory Bank. Qun Liu, Supratik Mukhopadhyay |
| 2018 | Unsupervised Learning with Self-Organizing Spiking Neural Networks. Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma |
| 2018 | Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah |
| 2018 | Unsupervised Wafermap Patterns Clustering via Variational Autoencoders. Peter Tulala, Hamidreza Mahyar, Elahe Ghalebi K., Radu Grosu |
| 2018 | User Alignment via Structural Interaction and Propagation. Anfeng Cheng, Chun-Yi Liu, Chuan Zhou, Jianlong Tan, Li Guo |
| 2018 | Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile). Millaray Curilem, João Paulo Canário, Luis Franco, Ricardo Araújo Rios |
| 2018 | Using Complexity Measures to Evolve Synthetic Classification Datasets. Vinícius Veloso de Melo, Ana Carolina Lorena |
| 2018 | Using Deep Learning to Recommend Discussion Threads to Users in an Online Forum. Nicholas Buhagiar, Bahram Zahir Azami, Abdolreza Abhari |
| 2018 | Using Double Regularization to Improve the Effectiveness and Robustness of Fisher Discriminant Analysis as A Projection Technique. Yuechi Jiang, Frank H. F. Leung |
| 2018 | Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir |
| 2018 | Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters. Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes, Carmelo J. A. Bastos Filho |
| 2018 | Using Semantic Clustering And Autoencoders For Detecting Novelty In Corpora Of Short Texts. Mei Mei, Xinyu Guo, Belinda C. Williams, Simona Doboli, Jared B. Kenworthy, Paul B. Paulus, Ali A. Minai |
| 2018 | Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer. Lunkai Fu, Jun Li, Langxiong Zhou, Zhenyuan Ma, Shaopeng Liu, Zhiyong Lin, Mukesh Prasad |
| 2018 | Validation of ANN Training Approaches for Day-Ahead Photovoltaic Forecasts. Alfredo Nespoli, Emanuele Ogliari, Alberto Dolara, Francesco Grimaccia, Sonia Leva, Marco Mussetta |
| 2018 | Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data. Aedan G. K. Roberts, Daniel R. Catchpoole, Paul J. Kennedy |
| 2018 | Version Space Completeness for Novel Hypothesis Induction in Biomedical Applications. Jinyan Li |
| 2018 | Video-Based Disguise Face Recognition Based on Deep Spiking Neural Network. Daqi Liu, Shigang Yue |
| 2018 | Visual Global Localization with a Hybrid WNN-CNN Approach. Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue, Alberto Ferreira de Souza |
| 2018 | Visual Navigation with Actor-Critic Deep Reinforcement Learning. Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang |
| 2018 | Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing. Hieda Adriana Nascimento Silva, Antonello Rosato, Rosa Altilio, Massimo Panella |
| 2018 | Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi |
| 2018 | Weightless Neural Network for High Frequency Trading. Samara A. Alves, Wouter Caarls, Priscila M. V. Lima |
| 2018 | Why Layering in Recurrent Neural Networks? A DeepESN Survey. Claudio Gallicchio, Alessio Micheli |
| 2018 | Wind Speed and Solar Irradiance Prediction Using Advanced Neuro-Fuzzy Inference System. K. V. Shihabudheen, G. N. Pillai |
| 2018 | Words Are Not Temporal Sequences of Characters. Michael Traynor, Thomas Trappenberg |
| 2018 | XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning. Yue Zhao, Maciej K. Hryniewicki |
| 2018 | iBQPSO: an Improved BQPSO Algorithm for Feature Selection. Qing Wu, Yuanfeng Shen, Zheping Ma, Jin Fan, Ruiquan Ge |
| 2018 | iWalk: Interest-Aware Random Walk for Network Embedding. Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo |